AgentDesk AI Chapter 4 | RAG Knowledge Base: Retrieval‑Augmented Grounding for Business Agents

Learn how to ground agent responses with a retrieval‑augmented knowledge base: embeddings, chunking, vector stores, similarity search, caching, and fallback strategies. This chapter shows how to build, update, and query a company KB for reliable, citation‑backed responses and a demo you can run from the repo.

Course series:
AgentDesk AI — Build a practical AI business support and lead follow-up agent using AI agents, RAG, MCP, tools, workflows, guardrails, and automation concepts.

Subscribe to Vector AI Academy for the next chapter, where we continue building the AgentDesk AI capstone project step by step.

Hashtags:
#RAG #AgenticAI #Embeddings #KnowledgeBase #VectorDB #OpenAI #AgentDeskAI #AIForEngineers #Tutorial

Видео AgentDesk AI Chapter 4 | RAG Knowledge Base: Retrieval‑Augmented Grounding for Business Agents канала Vector AI Academy